Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking

Abstract

 The cell has optimum operating point to be able to get maximum power. To obtain Maximum Power from photovoltaic array, photovoltaic power system usually requires Maximum Power Point Tracking (MPPT) controller. This paper provides a small power photovoltaic control system based on fuzzy control with FPGA technology design and implementation for MPPT. The system composed of photovoltaic module, buck converter and the fuzzy logic controller implemented on FPGA for controlling on/off time of MOSFET switch of a buck converter. The proposed maximum power point tracking controller for photovoltaic system is tested using model designed by Matlab/Simulink program with graphical user interface (GUI) for entering the parameters of any array model using information from its datasheet, Simulation and experimental results show that performance of the fuzzy controller with FPGA in a maximum power tracking of a photovoltaic array can be made use of in several photovoltaic products and obtain satisfied result.

Authors and Affiliations

Basil M. Hamed, Mohammed S. El-Moghany

Keywords

Related Articles

 A real time OCSVM Intrusion Detection module with low overhead for SCADA systems

 In this paper we present a intrusion detection module capable of detecting malicious network traffic in a SCADA (Supervisory Control and Data Acquisition) system. Malicious data in a SCADA system disrupt its correc...

 The Solution of Machines’ Time Scheduling Problem Using Artificial Intelligence Approaches

 The solution of the Machines’ Time Scheduling Problem (MTSP) is a hot point of research that is not yet matured, and needs further work. This paper presents two algorithms for the solution of the Machines’ Time Sch...

Human Gait Gender Classification in Spatial and Temporal Reasoning

Biometrics technology already becomes one of many application needs for identification. Every organ in the human body might be used as an identification unit because they tend to be unique characteristics. Many researche...

 Outlier-Tolerance RML Identification of Parameters in CAR Model

 The measured data inevitably contain abnormal data under the normal operating conditions. Most of the existing algorithms, such as least squares identification and maximum likelihood estimation, are easily affected...

 Hybrid Intelligent Approach for Predicting Product Compositions of a Distillation Column

 Compositions measurement is a vitally critical issue for the modelling and control of distillation process. The product compositions of distillation columns are traditionally measured using indirect techniques via...

Download PDF file
  • EP ID EP124921
  • DOI -
  • Views 123
  • Downloads 0

How To Cite

Basil M. Hamed, Mohammed S. El-Moghany (2012).  Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(3), 14-21. https://europub.co.uk/articles/-A-124921